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Mind, Body, World- Foundations of Cognitive Science, 2013a

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old clocks and gas meters” (Grey Walter, 1963, p. 244). By 1951, these two had been<br />

replaced by six improved machines (Holland, 2003a), two <strong>of</strong> which are currently<br />

displayed in museums.<br />

The robots came to be called Tortoises because <strong>of</strong> their appearance: they seemed<br />

to be toy tractors surrounded by a tortoise-like shell. Grey Walter viewed them as<br />

an artificial life form that he classified as Machina speculatrix. Machina speculatrix<br />

was a reaction against the internal variability in Ashby’s Homeostat. The goal <strong>of</strong><br />

Grey Walter’s robotics research was to explore the degree to which one could produce<br />

complex behaviour from such very simple devices (Boden, 2006). When Grey Walter<br />

modelled behaviour he “was determined to wield Occam’s razor. That is, he aimed<br />

to posit as simple a mechanism as possible to explain apparently complex behaviour.<br />

And simple, here, meant simple” (Boden, 2006, p. 224). Grey Walter restricted<br />

a Tortoise’s internal components to “two functional elements: two miniature radio<br />

tubes, two sense organs, one for light and the other for touch, and two effectors or<br />

motors, one for crawling and the other for steering” (Grey Walter, 1950b, p. 43).<br />

The interesting behaviour <strong>of</strong> the Tortoises was a product <strong>of</strong> simple reflexes that<br />

used detected light (via a light sensor mounted on the robot’s steering column) and<br />

obstacles (via movement <strong>of</strong> the robot’s shell) to control the actions <strong>of</strong> the robot’s two<br />

motors. Light controlled motor activity as follows. In dim light, the Tortoise’s drive<br />

motor would move the robot forward, while the steering motor slowly turned the<br />

front wheel. Thus in dim light the Tortoise “explored.” In moderate light, the drive<br />

motor continued to run, but the steering motor stopped. Thus in moderate light<br />

the Tortoise “approached.” In bright light, the drive motor continued to run, but the<br />

steering motor ran at twice the normal speed, causing marked oscillatory movements.<br />

Thus in bright light the Tortoise “avoided.”<br />

The motors were affected by the shell’s sense <strong>of</strong> touch as follows. When the<br />

Tortoise’s shell was moved by an obstacle, an oscillating signal was generated that<br />

first caused the robot to drive fast while slowly turning, and then to drive slowly<br />

while quickly turning. The alternation <strong>of</strong> these behaviours permitted the Tortoise to<br />

escape from obstacles. Interestingly, when movement <strong>of</strong> the Tortoise shell triggered<br />

such behaviour, signals from the photoelectric cell were rendered inoperative for a<br />

few moments. Thus Grey Walter employed a simple version <strong>of</strong> what later would be<br />

known as Brooks’ (1999) subsumption architecture: a higher layer <strong>of</strong> touch processing<br />

could inhibit a lower layer <strong>of</strong> light processing.<br />

In accordance with forward engineering, after Grey Walter constructed his<br />

robots, he observed their behaviour by recording the paths that they took in a number<br />

<strong>of</strong> simple environments. He preserved a visual record <strong>of</strong> their movement by using<br />

time-lapse photography; because <strong>of</strong> lights mounted on the robots, their paths were<br />

literally traced on each photograph (Holland, 2003b). Like the paths on the beach<br />

Elements <strong>of</strong> Embodied <strong>Cognitive</strong> <strong>Science</strong> 237

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